Manage all your agents in one terminal. Browse, search, and resume Claude Code, Codex, and Gemini sessions across your projects. Free, local, no account.
kbwo/ccmanager
Coding Agent Session Manager for Claude Code / Gemini CLI / Codex CLI / Cursor Agent / Copilot CLI / Cline CLI / OpenCode / Kimi CLI
Agent Client
Chat with Claude Code, Codex, Gemini CLI, and more via the Agent Client Protocol — right from your vault.
crawshaw - 2026-02-08
I wrote up my experiences programming with LLMs a bit over a year ago, and updated it for the world of agents eight months ago. A lot has changed since then, so here is an update.
Atuin Threads: All your agent sessions on every machine
Atuin Threads: one searchable, synced history for every agent session, on every machine Start a task in Claude Code, then resume it in Codex
I don't pay for ChatGPT, Perplexity, Gemini, or Claude – I stick to my self-hosted LLMs instead
There's no point in relying on AI tools when my local LLMs can handle everything
Aider - AI Pair Programming in Your Terminal
Aider lets you pair program with LLMs to start a new project or build on your existing codebase.
Push events into a running session with channels - Claude Code Docs
Use channels to push messages, alerts, and webhooks into your Claude Code session from an MCP server. Forward CI results, chat messages, and monitoring events so Claude can react while you're away.
Build agents, not pipelines
There are only two ways to use LLMs in a computer program: as part of a pipeline, or as an agent. In other words, either you express the control flow of the program in code, or you give a LLM tools and allow it to manage the control flow itself1.
The Bitter Lesson of LLM Extensions
From ChatGPT Plugins to Agent Skills, a look at how we've been trying (and failing) to extend LLMs for the last three years.
prime-radiant-inc/engineering-notebook
CLI tool that ingests Claude Code sessions, generates LLM summaries, and serves a browsable engineering journal
truefoundry/trueforge
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
Expanding Managed Agents in Gemini API: background tasks, remote MCP and more
We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.
Localforge – Free Local GUI for Codex AI & Any LLM | Localforge
Localforge is a free local GUI for Codex AI, Claude and any LLM. Run autonomous agent loops on your codebase, offline and MIT-licensed.
Instant LLM Updates with Doc-to-LoRA and Text-to-LoRA
Recent LLM agents have shown impressive capabilities on complex computer use and long-horizon tasks. Yet, they still struggle with long-term memory and adaptation--two of the most important cognitive capabilities that still limit LLMs today. Without long-term memory, users have to provide LLMs with relevant content at the start of every new session, creating friction, discontinuity, and longer time-to-response. Additionally, due to the lack of adaptation, they do not learn from mistakes or user preferences from previous sessions, making each interaction as cumbersome as the first. Traditionally, these two problems are tackled by "updating" the model.
Environments in Managed Agents | Gemini API | Google AI for Developers
Learn about persistent execution environments for managed agents in the Gemini API, including pre-installed software, snapshots, and configuration options.
